Description Usage Arguments Value Examples
View source: R/DriftFunctions.R
Analytical solution to stem cell label drift model.
th_PulseChase
Stochastic model used in "Defining stem cell dynamics in models of intestinal tumor initiation."
Vermeulen, Morrissey, et. al. Science 2013. The model is a stochastic birth death model with absorbing boundaries at 0 and N.
1 2 3 4 5 6 7 8 9 10 | th_PulseChase(
lambda,
Ns,
tau,
time_points,
persisting = T,
Pr = 0.5,
splitNum = 0,
alpha_beta = NULL
)
|
lambda |
Stem cell replacement rate. |
Ns |
Number of functional stem cells per crypt. |
tau |
Time delay until drift starts. |
time_points |
vector of time point values. |
persisting |
Whether or not to return probability distribution of only the surviving clones or not. |
Pr |
Bias in stem cell replacement Pr = 0.5 is neutral. |
splitNum |
To match to data choose the number of bins to distribute the model into (e.g 1/8s, splitNum = 8). |
alpha_beta |
two dim vector giving rate of replacement, alternative to using Pr. The relation is beta = 2*lambda*Pr, alpha = 2*lambda*(1-Pr) |
a matrix with the solution to the neutral or biased drift model.
1 | x = th_PulseChase(lambda = 0.1, Ns = 5, tau = 1, time_points = 1:50)
|
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